Progressive Desmoid Tumor: Radiomics Compared With Conventional Response Criteria for Predicting Progression During Systemic Therapy—A Multicenter Study by the French Sarcoma Group

Crombé, Amandine; Kind, Michèle; Isambert, Nicolás; Chevreau, Christine; Thewis, André; Lebbe, Célèste; Cesne, Axel Le; Bompas, Emmanuelle; Piperno‐Neumann, Sophie; Saâda, Esma; Bouhamama, Amine; Blay, Jean‐Yves; Italiano, Antoîne

doi:10.2214/ajr.19.22635

Cited by 26 publications

(22 citation statements)

References 33 publications

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“…Longitudinal MRI assessment that incorporates volumetric and image texture analysis could improve management by identifying early imaging markers of aggressiveness and therapeutic response. Our findings corroborate the recent findings by Crombé et al and the French Sarcoma Group that radiomics quantification of changes in tumor heterogeneity improves response evaluation in systemically treated DF (15). Individual DF behavior is notoriously difficult to fully characterize in a single measurement, and RECIST 1.1 fails to address (a) minor axis morphologic changes and (b) signal intensity variation owing to tumor collagenization.…”

Section: Discussionsupporting

confidence: 84%

“…As hypothesis-generating data, the consistent moderate correlation of image texture parameters with tumor size across various radiomics feature classes merits further investigation as a separate set of response features. This in fact has recently been borne out because a radiomics score developed by Crombé et al showed superior performance compared with conventional response criteria, with higher radiomics score portending worse clinical outcomes (15).…”

Section: Subhawong Et Almentioning

confidence: 99%

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MRI Volumetrics and Image Texture Analysis in Assessing Systemic Treatment Response in Extra-Abdominal Desmoid Fibromatosis

Subhawong¹,

Feister²,

Sweet³

et al. 2021

Radiology: Imaging Cancer

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To determine whether MRI volumetric and image texture analysis correlates with treatment-induced biologic changes in desmoid fibromatosis (DF) earlier than conventional response criteria. Materials and Methods:This retrospective study included 27 patients with histologically proven extra-abdominal DF who were managed with active surveillance or systemic therapy (from 2004 to 2016). MRI volumetric and image texture parameters were derived from manual tumor segmentations, and tumor signal intensity was normalized to muscle. Results were compared with objective response rates based on Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1, World Health Organization (WHO) lesion response, volumetrics, and MRI-modified Choi criteria. Correlation coefficients (r) between image texture features and maximum tumor diameters were obtained by using a meta-analysis approach.Results: The 27 included patients (mean age, 39 years; 74% women) were followed for an average of 4 years, comprising 207 distinct time-point assessments. The mean baseline tumor maximum diameter was 7.9 cm (range, 3.4-15.2 cm). Partial response (PR) rates as best response were 37%, 44%, 70%, and 81% by RECIST, WHO, volumetrics, and MRI-modified Choi criteria, respectively. Among the 10 tumors showing RECIST PR, a preceding MRI-modified Choi PR was observed in 70% (seven of 10), on average 1.3 years earlier. Multiple image texture parameters showed associations with objective measurements of tumor diameter including mean tumorto-muscle signal ratio

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Section: Discussionsupporting

confidence: 84%

Section: Subhawong Et Almentioning

confidence: 99%

MRI Volumetrics and Image Texture Analysis in Assessing Systemic Treatment Response in Extra-Abdominal Desmoid Fibromatosis

Subhawong¹,

Feister²,

Sweet³

et al. 2021

Radiology: Imaging Cancer

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“…Abdominal imaging experts in our center felt that the RECIST criteria could not be applied accurately to all patients in our study. This is supported by a work from the French sarcoma group, where changes in MRI intensity signaling better predicted response to treatment when compared with the RECIST criteria [31]. We chose to use 2-year-progression free survival (PFS) to show the effect of therapy.…”

Section: Discussionmentioning

confidence: 99%

Abdominal Desmoid: Course, Severe Outcomes, and Unique Genetic Background in a Large Local Series

Gilad

Shamai

Strul

et al. 2021

Cancers

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Introduction: Abdominal desmoid tumors are locally aggressive tumors that develop in familial adenomatous polyposis (FAP) patients, within the mesentery or abdominal wall. The understanding and implications of the treatment regimens are evolving. Aim: To assess the course, treatment, and outcomes of FAP and non-FAP abdominal desmoids and their related genetic alterations. Methods: Retrospective cohort study. Demographics, tumor characteristics, oncological and surgical history, complications, genetic-testing, and mortality data were retrieved from two tertiary referral centers. Results: Sixty-two patients were identified (46 FAP and 16 non-FAP). Thirty-eight patients (61.3%) underwent surgical procedures (12 urgent and 26 elective). Out of 33 tumor resections, 39.4% recurred. Hormonal therapy, COX-inhibitors, chemotherapy, imatinib, and sorafenib were used in 35 (56.4%), 30 (48.4%), 18 (29.1%), 7 (11.3%), and 8 (12.9%) of patients, respectively, with a 2 year progression-free survival of 67.8%, 57.7%, 38.4%, and 28.5%, respectively. Forty-one patients (66.1%) suffered complications: bowel obstruction (30.6%), hyperalimentation (14.5%), ureteral obstruction (12.9%), perforation (11.3%), abscess formation (3.2%), and spinal cord compression (3.2%). Non-FAP patients carried pathogenic mutations in CHEK2, BLM, ERCC5, MSH6, and PALB2. Conclusions: Abdominal desmoids are mostly FAP-related and are associated with severe outcomes. We also report a group of non-FAP abdominal desmoids, which includes patients with additional cancer-related gene alterations. This interesting group should be further explored.

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“…Two (4%) studies presented an analysis to assess the reproducibility based on different acquisition [30] or post-processing [31] techniques. Of note, segmentations were validated by a second experienced reader in 15 studies [12,[32][33][34][35][36][37][38][39][40][41][42][43][44][45] without, however, addressing the issue of radiomic feature reproducibility.…”

Section: Reproducibility Strategiesmentioning

confidence: 99%

CT and MRI radiomics of bone and soft-tissue sarcomas: a systematic review of reproducibility and validation strategies

et al. 2021

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Background Feature reproducibility and model validation are two main challenges of radiomics. This study aims to systematically review radiomic feature reproducibility and predictive model validation strategies in studies dealing with CT and MRI radiomics of bone and soft-tissue sarcomas. The ultimate goal is to promote achieving a consensus on these aspects in radiomic workflows and facilitate clinical transferability. Results Out of 278 identified papers, forty-nine papers published between 2008 and 2020 were included. They dealt with radiomics of bone (n = 12) or soft-tissue (n = 37) tumors. Eighteen (37%) studies included a feature reproducibility analysis. Inter-/intra-reader segmentation variability was the theme of reproducibility analysis in 16 (33%) investigations, outnumbering the analyses focused on image acquisition or post-processing (n = 2, 4%). The intraclass correlation coefficient was the most commonly used statistical method to assess reproducibility, which ranged from 0.6 and 0.9. At least one machine learning validation technique was used for model development in 25 (51%) papers, and K-fold cross-validation was the most commonly employed. A clinical validation of the model was reported in 19 (39%) papers. It was performed using a separate dataset from the primary institution (i.e., internal validation) in 14 (29%) studies and an independent dataset related to different scanners or from another institution (i.e., independent validation) in 5 (10%) studies. Conclusions The issues of radiomic feature reproducibility and model validation varied largely among the studies dealing with musculoskeletal sarcomas and should be addressed in future investigations to bring the field of radiomics from a preclinical research area to the clinical stage.

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Progressive Desmoid Tumor: Radiomics Compared With Conventional Response Criteria for Predicting Progression During Systemic Therapy—A Multicenter Study by the French Sarcoma Group

Cited by 26 publications

References 33 publications

MRI Volumetrics and Image Texture Analysis in Assessing Systemic Treatment Response in Extra-Abdominal Desmoid Fibromatosis

MRI Volumetrics and Image Texture Analysis in Assessing Systemic Treatment Response in Extra-Abdominal Desmoid Fibromatosis

Abdominal Desmoid: Course, Severe Outcomes, and Unique Genetic Background in a Large Local Series

CT and MRI radiomics of bone and soft-tissue sarcomas: a systematic review of reproducibility and validation strategies

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